Trust, security and privacy for big data [electronic resource] / editors Mamoun Alazab, Charles Darwin University, Casuarina Campus, Ellengowan Drive, Darwin, Australia, Maanak Gupta, Tennessee Technological University, Cookeville, USA.

"Data has revolutionized the current digital ecosystem. The readily available large datasets foster AI and machine learning automated solutions. However, the data format and its collection from various sources not only introduce unprecedented challenges to different domains including IoT, manufactur...

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Bibliographic Details
Other Authors: Alazab, Mamoun, 1980- (Editor)
Gupta, Maanak, 1989- (Editor)
Language:English
Published: Boca Raton : CRC Press, Taylor & Francis Group, 2022.
Edition:First edition.
Subjects:
Online Access:
Format: Electronic eBook

MARC

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245 0 0 |a Trust, security and privacy for big data  |h [electronic resource] /  |c editors Mamoun Alazab, Charles Darwin University, Casuarina Campus, Ellengowan Drive, Darwin, Australia, Maanak Gupta, Tennessee Technological University, Cookeville, USA. 
250 |a First edition. 
264 1 |a Boca Raton :  |b CRC Press, Taylor & Francis Group,  |c 2022. 
504 |a Includes bibliographical references and index. 
505 2 |a DigImoPriv : a big data framework for preserving privacy of digital immortals / Kumar Vikram and Muhammad Rizwan Asghar -- Federated learning role in big data, Iot services and applications security, privacy and trust in Iot : a survey / Supriya y and Thippa Reddy Gadekallu -- From the cloud to the edge : towards a distributed and light weight secure big data pipelines for IoT applications / Feras M Awaysheh. 
520 |a "Data has revolutionized the current digital ecosystem. The readily available large datasets foster AI and machine learning automated solutions. However, the data format and its collection from various sources not only introduce unprecedented challenges to different domains including IoT, manufacturing, smart cars, power grids etc, but at the same time highlights the security and privacy issues in this age of big data. The humongous scale of extraordinary scale, security and privacy in big data faces many challenges, such as generative adversary networks, efficient encryption and decryption algorithms, encrypted information retrieval, attribute-based encryption, attacks on availability, and reliability. The purpose of this book is to offer a timely venue for researchers and industry partners in communications and networking domains to present and discuss their latest results in security and privacy related work of big data"--  |c Provided by publisher. 
650 0 |a Big data. 
650 0 |a Information security. 
650 0 |a Privacy, Right of. 
700 1 |a Alazab, Mamoun,  |d 1980-  |e editor. 
700 1 |a Gupta, Maanak,  |d 1989-  |e editor. 
773 0 |t EBSCO eBooks   |d EBSCO 
773 0 |t EBSCO eBooks   |d EBSCO 
776 1 |t Trust, security and privacy for big data /  |w (DLC)2021045212 
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